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Optimization of the Inception Deck Technique for Eliciting Requirements in SCRUM Through Business Process Models

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Business Process Management Workshops (BPM 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 308))

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Abstract

Some techniques such as Inception Deck are used in software elicitation phase of the agile methodologies to unify the vision of all the stakeholders. This vision is stored in artifacts such as user stories. However, these artifacts are written in natural language and may, therefore, be ambiguous. Regarding SCRUM, the primary artifact is the product backlog, which in turn contains user stories. This paper describes how software development process with SCRUM can be improved by replacing the user stories with business process models to solve the ambiguity issue.

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Authors and Affiliations

  1. Research Laboratory in Development of Software Engineering, Universidad San Buenaventura, Cali, Colombia

    Manuel Pastrana, Hugo Ordóñez & Luis Merchan

  2. Intelligent Management Systems, University Foundation of Popayán, Popayán, Colombia

    Armando Ordonez

  3. Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    Lucinéia Heloisa Thom

Authors
  1. Manuel Pastrana
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  2. Hugo Ordóñez
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  3. Armando Ordonez
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  4. Lucinéia Heloisa Thom
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  5. Luis Merchan
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Corresponding author

Correspondence to Manuel Pastrana .

Editor information

Editors and Affiliations

  1. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Ernest Teniente

  2. Humboldt-Universität zu Berlin, Berlin, Berlin, Germany

    Matthias Weidlich

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Pastrana, M., Ordóñez, H., Ordonez, A., Thom, L.H., Merchan, L. (2018). Optimization of the Inception Deck Technique for Eliciting Requirements in SCRUM Through Business Process Models. In: Teniente, E., Weidlich, M. (eds) Business Process Management Workshops. BPM 2017. Lecture Notes in Business Information Processing, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-319-74030-0_52

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  • DOI: https://doi.org/10.1007/978-3-319-74030-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74029-4

  • Online ISBN: 978-3-319-74030-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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